AI-Native Certifications
what they are, who they’re for, and why they matter
AI has quietly become part of everyday work. Not in a dramatic way, but in small, practical shifts: drafts appear faster, options are generated on demand, meetings leave behind usable notes, patterns surface more easily in data. In many organisations, AI is already being used. What’s less clear is how consistently, with what intent, and with what level of trust.
Most companies are somewhere between enthusiasm and uncertainty. A few people are experimenting and getting real benefits from AI tools. Others are unsure what’s allowed or appropriate. Leaders see activity, but struggle to connect it to measurable outcomes or to understand the risks they’re inheriting. The result is familiar: growing AI adoption without a shared approach.
That’s why AI-Native certification and AI-Native training programmes are starting to appear. The Scaled Agile AI-Native certifications are a good example of this shift: they don’t frame the problem as a lack of tools or technical skills. They frame it as a capability gap - organisations haven’t yet learned how to redesign work when AI becomes a normal part of the system.
Most companies are somewhere between enthusiasm and uncertainty. A few people are experimenting and getting real benefits from AI tools. Others are unsure what’s allowed or appropriate. Leaders see activity, but struggle to connect it to measurable outcomes or to understand the risks they’re inheriting. The result is familiar: growing AI adoption without a shared approach.
That’s why AI-Native certification and AI-Native training programmes are starting to appear. The Scaled Agile AI-Native certifications are a good example of this shift: they don’t frame the problem as a lack of tools or technical skills. They frame it as a capability gap - organisations haven’t yet learned how to redesign work when AI becomes a normal part of the system.
What “AI-Native” actually means
The idea behind AI-Native is simple, but demanding. Instead of asking how to add AI to existing processes, it asks how work itself changes when AI is available - how decisions are made, how workflows are shaped, and how value is delivered responsibly.
In the Scaled Agile AI-Native approach, the emphasis is on building a repeatable capability: clearer decision-making, better workflow design, and responsible AI adoption - rather than chasing a particular tool or feature set.
In the Scaled Agile AI-Native approach, the emphasis is on building a repeatable capability: clearer decision-making, better workflow design, and responsible AI adoption - rather than chasing a particular tool or feature set.
AI-Native Foundations: building AI fluency and a shared baseline
AI-Native Foundations, developed by Scaled Agile, is the entry point in the AI-Native certification path. It’s designed for professionals who need a clear, practical understanding of modern AI without becoming technical specialists.
Participants develop AI fluency by learning core concepts such as generative AI, large language models, retrieval-augmented generation, and intelligent agents. The emphasis is not on theory, but on application: participants are encouraged to look at real workflows and ask a more useful question than “which AI tool should we use?” - if AI is now available, how should this work change?
This makes AI-Native Foundations certification particularly relevant for leaders, managers, product and operations roles, and anyone involved in shaping how work is done across an organisation.
More details about the course are available here: AI-Native Foundations certification
Participants develop AI fluency by learning core concepts such as generative AI, large language models, retrieval-augmented generation, and intelligent agents. The emphasis is not on theory, but on application: participants are encouraged to look at real workflows and ask a more useful question than “which AI tool should we use?” - if AI is now available, how should this work change?
This makes AI-Native Foundations certification particularly relevant for leaders, managers, product and operations roles, and anyone involved in shaping how work is done across an organisation.
More details about the course are available here: AI-Native Foundations certification
AI-Native Change Agent: scaling AI adoption and business value
Once organisations move beyond early experimentation, the challenges shift. Questions of awareness give way to harder issues: which AI use cases are worth scaling, how to assess feasibility early, how to avoid a growing collection of pilots, and how to explain progress in a way leadership can support.
AI-Native Change Agent, the advanced AI-Native certification by Scaled Agile, is designed for this phase. It focuses on turning AI experimentation into measurable outcomes by helping participants evaluate value, risk, and trade-offs before committing to large initiatives. It also supports more consistent AI governance and decision-making - so responsible AI adoption is easier to scale across teams and departments.
Full course information is available here: AI-Native Change Agent certification
AI-Native Change Agent, the advanced AI-Native certification by Scaled Agile, is designed for this phase. It focuses on turning AI experimentation into measurable outcomes by helping participants evaluate value, risk, and trade-offs before committing to large initiatives. It also supports more consistent AI governance and decision-making - so responsible AI adoption is easier to scale across teams and departments.
Full course information is available here: AI-Native Change Agent certification
How AI-Native courses differ from typical AI training
Many AI courses focus either on specific tools or on deep technical skills. Tool-centric training can be helpful, but it becomes outdated quickly and rarely leads to consistent organisational capability. Technical AI courses are essential for specialists, but they don’t address the needs of most leaders and non-technical professionals.
AI-Native courses sit between these extremes. They focus on AI capability building, AI workflow design, and responsible AI adoption - helping organisations develop a shared language and a repeatable approach to using AI effectively. In that sense, they’re best understood as enterprise AI training rather than tool training.
AI-Native courses sit between these extremes. They focus on AI capability building, AI workflow design, and responsible AI adoption - helping organisations develop a shared language and a repeatable approach to using AI effectively. In that sense, they’re best understood as enterprise AI training rather than tool training.
Why AI-Native certification matters now
AI adoption in organisations is accelerating, whether it’s planned or not. The real question is no longer whether AI will be used, but whether it will be used in a way that builds trust, delivers value, and scales responsibly.
AI-Native learning does not promise shortcuts or quick wins. It provides a structured way to think clearly about how work changes when AI becomes part of the system - and how to make those changes intentional.
AI-Native learning does not promise shortcuts or quick wins. It provides a structured way to think clearly about how work changes when AI becomes part of the system - and how to make those changes intentional.
FAQ
An AI-Native certification focuses on building AI fluency and organisational capability rather than teaching specific tools. It helps professionals understand how AI changes workflows, decision-making, and value creation.
AI-Native Foundations builds a shared baseline and AI fluency for professionals and leaders. AI-Native Change Agent focuses on scaling AI adoption, evaluating feasibility, and turning AI initiatives into measurable business outcomes.
No. AI-Native training is designed for non-technical and mixed audiences. The focus is on understanding, decision-making, workflow redesign, and responsible AI use—not coding or model development.
AI-Native courses are suitable for leaders, managers, product and operations roles, analysts, consultants, and anyone involved in shaping how work is done in an organisation adopting AI.
Yes. Responsible AI adoption, risk awareness, and governance are core elements of AI-Native training, alongside value creation and workflow design.
Yes. AI-Native Foundations and AI-Native Change Agent are certifications developed by Scaled Agile and delivered by authorised partners.
Scaled Agile developed AI-Native and many participants come from SAFe environments, but the training itself focuses on AI capability, workflow design, and responsible adoption rather than on a specific framework.
Scaled Agile AI-Native training is designed for organisations that want to move beyond isolated AI experiments and build a more consistent, responsible approach to AI adoption at scale.
An AI-Native certification focuses on building AI fluency and organisational capability rather than teaching specific tools. It helps professionals understand how AI changes workflows, decision-making, and value creation.
AI-Native Foundations builds a shared baseline and AI fluency for professionals and leaders. AI-Native Change Agent focuses on scaling AI adoption, evaluating feasibility, and turning AI initiatives into measurable business outcomes.
No. AI-Native training is designed for non-technical and mixed audiences. The focus is on understanding, decision-making, workflow redesign, and responsible AI use—not coding or model development.
AI-Native courses are suitable for leaders, managers, product and operations roles, analysts, consultants, and anyone involved in shaping how work is done in an organisation adopting AI.
Yes. Responsible AI adoption, risk awareness, and governance are core elements of AI-Native training, alongside value creation and workflow design.
Yes. AI-Native Foundations and AI-Native Change Agent are certifications developed by Scaled Agile and delivered by authorised partners.
Scaled Agile developed AI-Native and many participants come from SAFe environments, but the training itself focuses on AI capability, workflow design, and responsible adoption rather than on a specific framework.
Scaled Agile AI-Native training is designed for organisations that want to move beyond isolated AI experiments and build a more consistent, responsible approach to AI adoption at scale.
Upcoming AI-Native training courses